Browsing by Author "CHAIBA Azeddine"

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    Evaluation of the High Performance Indirect Field Oriented Controlled Dual Induction Motor Drive Fed by a Single Inverter using Type-2 Fuzzy Logic Control
    (Engineering, Technology & Applied Science Research, Vol. 10, No. 5, 2020, 6301-6308, 2020-06-15) Alaeddine Bounab,; CHAIBA Azeddine; Sebti Belkacem
    n this paper, a high-performance indirect field-oriented controlled dual Induction Motor (IM) drive fed by a single inverter using type-2 fuzzy logic control will be presented. At first, the mathematical model of the IM is implemented in the d-q reference frame. Then, the speed control of the Dual Induction Motor (DIM) operating in parallel configuration with Indirect Field Oriented Control (IFOC) using PI and type-2 Fuzzy Logic Controller (T2-FLC) will be presented. For the control of this system, a DC supply and a Space Vector Pulse Width Modulation (SVPWM) voltage source inverter are introduced with constant switching frequency. Also, the performance of T2-FLC, which is based on the IFOC, is tested and compared to those achieved using the PI controller. The simulation results demonstrate that the T2-FLC is more robust, efficient, and has superior dynamic performance for traction system applications.
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    Experimental investigation of efficient and simple wind-turbine based on DFIG-direct power control using LCL-filter for stand-alone mode
    (ISA Transactions, 2022-05-20) Amrane Fayssal; CHAIBA Azeddine; Francois Bruno
    This paper suggests an experimental implementation study of the Wind Energy Conversion System (WECS) based on efficient Direct Power Control (DPC). Stand-alone mode for variable wind speed application using Doubly-Fed Induction Generator (DFIG) is studied and developed in this work. Due to the wind power performance limitation of traditional PI controllers, such as overshoot, response time, and static error; IP (integral–Proportional) controllers is replaced instead of the PI to control rotor current d–q components (Ird and Irq) in a Park frame through AC–DC–AC converter. A comparative experimental study was implemented to improve the power quality using L, LC & LCL passive filters between the DFIG’s rotor circuit and the inverter. Experimental results prove that the proposed DPC under stand-alone mode with LCL-Type filter could operate in several conditions despite the sudden wind speed variations. It improves the unity power factor grid operation (≈0.98), dynamic responses, and the decoupled power control with high wind power performances: good reference tracking, short response time, neglected overshoot, and low power error. The power quality injected into the RL-load satisfied the limit specified by IEEE harmonic standard 519 (less than 5%).
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    Improved Adaptive Nonlinear Control For Variable Speed Wind-Turbine Fed By Direct Matrix Converter
    (Rev. Roum. Sci. Techn.– Électrotechn. et Énerg ,Vol. 68, 1, pp. 58–64, Bucarest, 2023, 2023-02-10) Amrane Fayssal; CHAIBA Azeddine; Francois Bruno
    This paper proposes a robust decoupling power algorithm based on a doubly fed induction generator (DFIG) for variable speed wind-turbine (WT). The DFIG rotor circuit is fed by the direct matrix converter (DMC), which presents several features such as no need to the dc-bus voltage, sinusoidal supply, rotor side waveforms, bidirectional power flow, and adjustable input power factor. The 18 bidirectional switches are controlled using the Venturini modulation technique. On the other hand, the DFIG stator circuit is connected directly to the grid. The nonlinear control strategy based on feedback linearization is applied to control the stator power (Ps and Qs) independently using the rotor quadrature and direct currents (irq and ird), which present the images of the previous stator powers. Some limitations appear in the power algorithm using the conventional pi controller, especially in power tracking, error, and quality. In this context, the model reference adaptive controller (MRAC) presents an alternative solution, a robust and efficient controller proposed instead of the pi controllers to control stator powers. Finally, the simulation results confirm that the proposed algorithm could work under hard conditions and demonstrate that the wind energy conversion system (WECS) provides enhanced dynamic responses in transient and steady states and good power quality delivered to the grid.
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    Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS)
    (Bentham Science Publishers, 2019-02-15) CHAIBA Azeddine; Amrane Fayssal
    During the past decade, the installed wind power capacity in the world has been increasing more than 30%. Wind energy conversion system (WECSs) based on the doubly-fed induction generator (DFIG) dominated the wind power generations due to the outstanding advantages, including small converters rating around 30 % of the generator rating, lower converter cost. Due to the non-linearity of wind system, the DFIG power control presents a big challenge especially under wind-speed variation and parameter’s sensibility. To overcome these major problems; an improved IDPC (Indirect Power Control); based on PID “Proportional-Integral-Derivative” controller, was proposed instead the conventional one (based on PI), in order to enhance the wind- system performances in terms; power error, tracking power and overshoot. Unfortunately using robustness tests (based on severe DFIG’s parameters changement); the wind-system offers non-satisfactory simulation results which were illustrated by the very bad power tracking and very big overshoot (> 50%). In this context; adaptive, robust & intelligent controllers were proposed to control direct & quadrature currents (Ird & Irq) under MPPT (Maximum Power Point Tracking) strategy to main the unity power factor (PF≈1) by keeping the reactive power at zero level. In this case, the new IDPC based on intelligent controllers offered an excellent wind-system performance especially using robustness tests, which offered a big improvement especially using Type-1 Fuzzy Logic Controller (T1-FLC), Type-2 Fuzzy Logic Control (T2-FLC; is the New class of fuzzy logic) & Neuro-Fuzzy Logic (NFC). In this sense, I think that this edited book is an important contribution to help students already in mastery of the basis of power electronic circuits and control systems theory to achieve these pedagogical goals. The proposed book describes with easy manner the modeling & control of Wind-turbine DFIG in order to control the stator powers using different topologies of robust, adaptive and intelligent controllers. The book present numerous intelligent control techniques that help in the control design of the DFIG wind-system (WT).